Shu-Chin Yip
Impact in
- Cell Biology top 2%
- Cellular transport and secretion
- Cellular Mechanics and Interactions
- Microtubule and mitosis dynamics
- Immunology and Allergy top 5%
- Cell Adhesion Molecules Research
Papers in ⓘ
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- Protein Kinase Regulation and GTPase Signaling 3
- PI3K/AKT/mTOR signaling in cancer 3
- Protein Tyrosine Phosphatases 1
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- Cellular Mechanics and Interactions 5
- Co-authors
- Jonathan Backer (9 shared papers)Marta Miączyńska (1 shared paper)Keith Ashman (1 shared paper)Marino Zerial (1 shared paper)John S. Condeelis (5 shared papers)Savvas Christoforidis (1 shared paper)Matthias Wilm (1 shared paper)Liyun Zhao (1 shared paper)
- Journals
- The Journal of Cell Biology (3 papers)Journal of Biological Chemistry (3 papers)Nature Cell Biology (1 paper)Biochemical Journal (1 paper)Cancer Research (1 paper)
- Partner nations
- United StatesPolandGermany
In The Last Decade
Shu-Chin Yip
10 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 75
- Cell Biology 746
- Immunology and Allergy 169
- Physiology 119
- Molecular Biology 796
- Biophysics 66
Countries citing papers authored by Shu-Chin Yip
This map shows the geographic impact of Shu-Chin Yip's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Shu-Chin Yip with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shu-Chin Yip more than expected).
Fields of papers citing papers by Shu-Chin Yip
This network shows the impact of papers produced by Shu-Chin Yip. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Shu-Chin Yip. The network helps show where Shu-Chin Yip may publish in the future.
Co-authors
The 25 scholars most cited alongside Shu-Chin Yip, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Phosphatidylinositol-3-OH kinases are Rab5 effectors Hit paper breakdown → | 1999 | 513 |
| 2 | 2007 | 202 | |
| 3 | 2004 | 195 | |
| 4 | 2009 | 76 | |
| 5 | 2000 | 72 | |
| 6 | 2005 | 66 | |
| 7 | 2007 | 56 | |
| 8 | 2003 | 37 | |
| 9 | 2008 | 33 | |
| 10 | 2001 | 22 |
About Shu-Chin Yip
Shu-Chin Yip is a scholar working on Molecular Biology, Cell Biology, Immunology and Allergy, Oncology and Surgery, having authored 10 papers that have together received 1.3k indexed citations. Recurring topics across this work include Cellular Mechanics and Interactions (5 papers), Protein Kinase Regulation and GTPase Signaling (3 papers), Cell Adhesion Molecules Research (3 papers), PI3K/AKT/mTOR signaling in cancer (3 papers), Pancreatic function and diabetes (1 paper), Cytokine Signaling Pathways and Interactions (1 paper), Cell Image Analysis Techniques (1 paper) and Protein Tyrosine Phosphatases (1 paper). The work is most often cited by research in Cell Biology (746 citations), Immunology and Allergy (169 citations), Physiology (119 citations), Molecular Biology (796 citations) and Biophysics (66 citations). Shu-Chin Yip has collaborated with scholars based in United States, Poland and Germany. Frequent co-authors include Jonathan Backer, Marta Miączyńska, Keith Ashman, Marino Zerial, John S. Condeelis, Savvas Christoforidis, Matthias Wilm, Liyun Zhao, Michael D. Waterfield and Robert J. Eddy. Their work appears in journals such as The Journal of Cell Biology, Journal of Biological Chemistry, Nature Cell Biology, Biochemical Journal and Cancer Research.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.